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Clinical Features Evaluation of Myopic Fundus tessellation from OCTA and MfERG.
Photodiagnosis Photodyn Ther
January 2025
Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, Zhejiang, 315000, P.R. China. Electronic address:
Purpose: To evaluate the differences in fundus tessellation among various severities using multifocal visual electrophysiology (MfERG) and optical coherence tomography angiography (OCTA) for clinical grading and treatment.
Methods: This study included 52 patients totaling 87 eyes. The Early Treatment Diabetic Retinopathy Study (ETDRS) grid division method was utilized to assess Grade of fundus tessellation.
Retinal Protection of New Nutraceutical Formulation.
Pharmaceutics
January 2025
Innovation and Medical Science, SIFI S.p.A., 95025 Aci Sant'Antonio, Italy.
Retinal ganglion cell (RGC) protection represents an unmet need in glaucoma. This study assessed the neuroprotective, antioxidant, and anti-inflammatory effect of a new nutraceutical formulation named Epicolin, based on citicoline, homotaurine, epigallocatechin-3-gallate, forskolin, and vitamins, through in vitro and in vivo studies. The neuroprotective effect of Epicolin or its single components, and Epicolin compared to an untreated control and two marketed formulations [Formulation G (FG) and N (FN)], was evaluated in neuroblastoma cells (SH-SY5Y) challenged with staurosporine.
View Article and Find Full Text PDFEffects of Selected Antioxidants on Electroretinography in Rodent Diabetic Retinopathy.
Antioxidants (Basel)
December 2024
Department of Physiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, Medyków 18, 40-752 Katowice, Poland.
Electroretinography (ERG) is a non-invasive technique for evaluating the retinal function in various ocular diseases. Its results are useful for diagnosing ocular disorders and assessing disease progression or treatment effectiveness. Since numerous studies are based on animal models, validating the ERG results from animals is pivotal.
View Article and Find Full Text PDFSpectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning.
Bioengineering (Basel)
December 2024
Biomedical Engineering Department, University of Connecticut, Storrs, CT 06269, USA.
Electroretinograms (ERGs) show differences between typically developing populations and those with a diagnosis of autism spectrum disorder (ASD) or attention deficit/hyperactivity disorder (ADHD). In a series of ERGs collected in ASD ( = 77), ADHD ( = 43), ASD + ADHD ( = 21), and control ( = 137) groups, this analysis explores the use of machine learning and feature selection techniques to improve the classification between these clinically defined groups. Standard time domain and signal analysis features were evaluated in different machine learning models.
View Article and Find Full Text PDFRemodeling the light-adapted electroretinogram using a bayesian statistical approach.
BMC Res Notes
January 2025
College of Nursing and Health Sciences, Flinders University, Caring Futures Institute, Adelaide, Australia.
Objective: To present a remodeling of the electroretinogram waveform using a covariance matrix to identify regions of interest and distinction between a control and attention deficit/hyperactivity disorder (ADHD) group. Electroretinograms were recorded in n = 25 ADHD (16 male; age 11.9 ± 2.
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